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Jev glossary

API & ModelsBtok

Token pricing

Jev's published rate: $42 per billion input tokens, with output tokens free.
Category
API & Models
Also known as
Btok
Reading time
1 min
Related terms
4
Directory entries
19
Docs
docs.typesafe.ai
Added
2026-09-24

Definition

Pricing is charged per input token at $42 per Btok ($0.042 per Mtok). Output tokens are free, so the cost of a request is dominated by how much state and how many questions you send.

TypeSafe's product page frames that as a 238x lower input price than Claude Fable 5.1 and claims 193.6x faster and 444.6x cheaper than LLMs on its own workflows. Those multipliers are vendor-run comparisons rather than independent measurements.

Tagsapipricing

From the Jev directory

Directory entries that go deeper on this term.

The model card for jev-1.13.0: $42 per billion input tokens with free output, a 64k context, 250k tokens per second, and how to list the models your account can call.
Jev Guides & ArticlesDocs#official#docs#models
Official
TypeSafe AI's product site for Jev, its first System One Model: typed decisions with calibrated confidence, performance and pricing claims, a FAQ, and links to the docs, console, workflow evals, and launch post.
Jev Guides & ArticlesDocs#official#docs#models
Official
czmilo's long guide to TypeSafe's System One model: the 193.6x/444.6x benchmark claims, RLCD training, Cloudflare, OpenRouter, and LangChain availability, a 32K context window, and vendor caveats.
Jev Guides & ArticlesArticle#community#article#guide
Community
A desk recording news, benchmarks, and listed API prices for TypeSafe's Jev and other decision models, with each figure linked to the page that printed it. Updated October 15, 2026, and not affiliated with TypeSafe.
Jev Guides & ArticlesDocs#community#news#benchmarks
Community
Anton Zagrebelny's analysis: Jev's free output tokens and confidence-per-decision design push products toward two-model architectures and quietly break the way AI credits and entitlements are metered.
Jev Media & TalksArticle#community#catalog-import#yibie
Community
The enterprise page for Jev: two published case studies with 88% and 98.7% lower cost, SOC 2 Type II and zero data retention, a no-training-on-inputs commitment, and higher rate limits for teams.
Jev Guides & ArticlesDocs#official#enterprise#compliance
Official

13 more matching entries in the full directory.

From the Jev AI model community

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